Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 4.00 18.00 44.00 5.86 9784
1a 4.00 26.00 42.00 4.82
1b 0.00 10.00 46.00 3.86
1c 6.00 18.00 32.00 3.86
2 46.00 -64.00 -4.00 5.86 29520
2a 54.00 -52.00 20.00 4.82
2b 42.00 -72.00 -2.00 4.60
2c 58.00 -20.00 6.00 4.60
3 54.00 28.00 6.00 5.72 17496
3a 44.00 24.00 4.00 5.44
3b 52.00 26.00 16.00 5.44
3c 52.00 32.00 6.00 5.44
4 -50.00 -56.00 26.00 5.60 21480
4a -52.00 -56.00 18.00 5.24
4b -56.00 -28.00 4.00 5.24
4c -50.00 -52.00 28.00 5.03
5 -40.00 22.00 -4.00 5.24 7832
5a -46.00 22.00 2.00 3.86
5b -46.00 34.00 20.00 3.03
5c -42.00 24.00 6.00 3.03
6 -6.00 46.00 -8.00 4.82 14240
6a 2.00 56.00 24.00 4.60
6b 0.00 50.00 30.00 4.60
6c 2.00 58.00 20.00 4.60
7 -26.00 -8.00 -16.00 4.82 3104
7a -24.00 0.00 -16.00 3.86
8 -2.00 -56.00 34.00 4.60 5272
8a -8.00 -50.00 30.00 4.13
8b 0.00 -54.00 38.00 3.59
8c -2.00 -62.00 40.00 3.03
9 12.00 8.00 2.00 4.37 4288
9a -12.00 12.00 4.00 3.31
9b 18.00 4.00 -2.00 3.03
9c 2.00 12.00 -2.00 3.03
10 -40.00 -82.00 0.00 3.86 3200
10a -46.00 -72.00 -2.00 3.03
10b -44.00 -78.00 4.00 3.03
10c -48.00 -70.00 0.00 3.03
11 -4.00 -80.00 0.00 3.86 2992
11a 4.00 -84.00 8.00 2.73
11b 0.00 -78.00 2.00 2.73
11c -4.00 -72.00 8.00 2.73
12 -30.00 -10.00 56.00 3.86 1592
13 26.00 -2.00 -18.00 3.59 2008
13a 22.00 -8.00 -14.00 2.73
13b 32.00 -8.00 -24.00 2.73
13c 22.00 -6.00 -10.00 2.12
14 -34.00 -56.00 -12.00 3.59 2384
14a -26.00 -54.00 -10.00 3.31
14b -26.00 -58.00 -18.00 2.73
14c -36.00 -60.00 -16.00 2.73
15 34.00 -2.00 56.00 3.59 1736
15a 44.00 0.00 52.00 2.43
15b 30.00 2.00 64.00 2.12
15c 32.00 -10.00 50.00 1.81
16 -38.00 -38.00 52.00 3.03 2992
16a -38.00 -46.00 50.00 3.03
16b -34.00 -54.00 48.00 2.73
16c -36.00 -42.00 42.00 2.73
17 -58.00 -30.00 26.00 3.03 304
18 18.00 -86.00 -6.00 3.03 1352
18a 16.00 -94.00 -4.00 2.43
18b 24.00 -88.00 -10.00 2.12
18c 12.00 -94.00 -4.00 2.12
19 -54.00 -30.00 36.00 2.73 216
19a -52.00 -22.00 36.00 1.81
20 28.00 -74.00 42.00 2.73 632
21 20.00 -82.00 36.00 2.43 176
22 26.00 -46.00 62.00 2.43 272
23 38.00 -78.00 16.00 2.43 352
24 -46.00 2.00 40.00 2.43 264
25 -48.00 -34.00 14.00 2.43 96
25a -46.00 -26.00 14.00 1.81
26 -34.00 -38.00 -18.00 2.12 104
27 -36.00 -26.00 58.00 2.12 88
28 -48.00 10.00 16.00 2.12 104
29 4.00 -28.00 44.00 2.12 88
30 -24.00 -72.00 56.00 2.12 544
30a -22.00 -64.00 58.00 2.12

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.5.5+4.g957c959 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA
kernel \citep{wager2007meta} was used to generate study-wise modeled activation maps from
coordinates. In this kernel method, each coordinate is convolved with a sphere with a radius of
10.0 and a value of 1. For voxels with overlapping spheres, the maximum value was retained. Summary
statistics (OF values) were converted to p-values using an approximate null distribution. The input
dataset included 2648 foci from 356 experiments. False discovery rate correction was performed with
the Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}